Studies
TrichoTest™ | 2024
Epidemiologic Study of Gene Distribution in Romanian and Brazilian Patients with Non-Cicatricial Alopecia
Gustavo Torres, Monica Păun, George Sorin Țiplica, Victor Mihail Cauni
Androgenetic alopecia (AGA) and alopecia areata (AA) are common forms of non-cicatricial alopecia with limited treatment options, impacting patient quality of life. Pharmacogenetic testing offers personalized treatment guidance by assessing genetic variations. This study evaluates and compares specific SNPs and genes related to AGA and AA in Romanian and Brazilian populations. Results highlight significant genetic differences and potential treatment implications, underscoring the importance of genetic analysis in optimizing therapeutic outcomes for alopecia patients.
TrichoTest™ | 2024
Utilising SNP association analysis as a prospective approach for personalizing Androgenetic Alopecia treatment
Francès MP, Vila-Vecilla L, Valentina Russo, Polonini HC, de Souza GT
This study focuses on correlating the genetic mechanisms of Androgenetic alopecia (AGA) with molecular targets involved in the response to current treatment modalities. An anonymised database including 26,607 patients was subjected to analysis. The study establishes a preliminary association between eight specific SNPs and AGA. These genetic markers offer insights into the variability of therapeutic responses, thus underlining the importance of personalised treatment approaches.
NutriGen | 2024
Genetic variant panel allows predicting both obesity risk, and efficacy of procedures and diet in weight loss
Mera-Charria A, Nieto-Lopez F, Francès MP, Arbex PM, Vila-Vecilla L, Russo V, Vicente Silva CC, De Souza GT
Obesity is a multifactorial condition with a relevant genetic correlation. Recent advances in genomic research have identified several single nucleotide polymorphisms (SNPs) in genes such as FTO, MCM6, HLA, and MC4R, associated with obesity. This study aimed to evaluate the association of 102 SNPs with BMI and weight loss treatment response in a multi-ethnic population.